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electrical load is supplied by the external network and the thermal power is
produced by the boiler only. In this case
N
intervals
f
noncogenerative
=
[
c
p
(
i
)
U
e
(
i
)+
c
t
U
t
(
i
)]
Δt
(9)
i
=1
f
CHP
f
noncogenerative
100
.
f
%
=
(10)
The one day scheduling allows to save money of about 34% (
f
%
= 66%).
Acknowledgments
This work is supported by the European project High Eciency polyGEneration
appLication ”HEGEL” No. 20153, 6th Framework Programme - Priority 6.1 -
Sustainable Energy Systems.
References
1. Arroyo, J.M., Conejo, A.J.: Optimal response of a thermal unit to an electricity
spot market. IEEE Transaction on Power Systems
15
(2000) 1098-1104
2. Carpaneto, E., Freschi, F., Repetto, M.: Two-stage optimization of a single chp
node. In: Cigre 2005 Athens Symposium. (2005) 303-310
3. Gomez-Villalva, E., Ramos, A.: Optimal energy management of an industrial con-
sumer in liberalized markets. IEEE Transactions on Power Systems
18
(2003) 716
723
4. Wolsey, L.A., Nemhauser, G.L.: Integer and Combinatorial Optimization. 1st edition
edn. Wiley-Interscience (1999)
5. Arroyo, J.M., Conejo, A.J.: Modeling of start-up and shout-down power trajectories
of themal units. IEEE Transaction on power systems
19
(2004) 1562-1568
6. de Castro, L.N., Timmis, J.: An Artificial Immune Network for Multimodal Function
Optimization. In: Proceedings of the 2002 Congress on Evolutionary Computation,
CEC 2002. Volume 1. (2002) 699-704
7. Deb, K., Reddy, A.R., Singh, G.: Optimal scheduling of casting sequences using
genetic algorithms. Journal of Materials and Manufacturing Processes
18
(2003)
409-432
